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Delete clipseg/experiments/ablation.yaml

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  1. clipseg/experiments/ablation.yaml +0 -84
clipseg/experiments/ablation.yaml DELETED
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- configuration:
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- batch_size: 64
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- optimizer: torch.optim.AdamW
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-
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- lr: 0.001
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-
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- trainer: experiment_setup.train_loop
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- scorer: experiment_setup.score
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- model: models.clipseg.CLIPDensePredT
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-
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- lr_scheduler: cosine
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- T_max: 20000
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- eta_min: 0.0001
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-
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- max_iterations: 20000 # <-##########################################
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- val_interval: null
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-
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- # dataset
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- dataset: datasets.phrasecut.PhraseCut # <-----------------
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- split_mode: pascal_test
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- split: train
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- mask: text_and_crop_blur_highlight352
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- image_size: 352
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- negative_prob: 0.2
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- mix_text_max: 0.5
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-
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- # general
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- mix: True # <-----------------
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- prompt: shuffle+
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- norm_cond: True
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- mix_text_min: 0.0
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- with_visual: True
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-
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- # model
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- version: 'ViT-B/16'
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- extract_layers: [3, 7, 9]
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- reduce_dim: 64
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- depth: 3
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- fix_shift: False # <-##########################################
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-
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- loss: torch.nn.functional.binary_cross_entropy_with_logits
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- amp: True
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-
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- test_configuration_common:
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- normalize: True
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- image_size: 352
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- batch_size: 32
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- sigmoid: True
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- split: test
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- label_support: True
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-
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- test_configuration:
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-
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- -
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- name: pc
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- metric: metrics.FixedIntervalMetrics
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- test_dataset: phrasecut
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- mask: text
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-
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- -
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- name: pc-vis
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- metric: metrics.FixedIntervalMetrics
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- test_dataset: phrasecut
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- mask: crop_blur_highlight352
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- with_visual: True
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- visual_only: True
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-
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-
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- columns: [name,
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- pc_fgiou_best, pc_miou_best, pc_fgiou_0.5,
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- pc-vis_fgiou_best, pc-vis_miou_best, pc-vis_fgiou_0.5,
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- duration]
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-
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-
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- individual_configurations:
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-
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- - {name: rd64-uni}
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- - {name: rd64-no-pretrain, not_pretrained: True, lr: 0.0003}
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- - {name: rd64-no-negatives, negative_prob: 0.0}
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- - {name: rd64-neg0.5, negative_prob: 0.5}
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- - {name: rd64-no-visual, with_visual: False, mix: False}
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- - {name: rd16-uni, reduce_dim: 16}
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- - {name: rd64-layer3, extract_layers: [3], depth: 1}
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- - {name: rd64-blur-highlight, mask: text_and_blur_highlight, test_configuration: {mask: blur_highlight}}